Thông tin của Trường THCS, THPT Duy Tân

Sáu năm trước, các trường đại học như MIT và Stanford lần đầu tiên mở ra các khóa học trực tuyến miễn phí cho công chúng. Ngày nay, hơn 800 trường học trên khắp thế giới đã tạo ra hàng ngàn khóa học trực tuyến miễn phí. Tôi đã biên soạn danh sách này của hơn 620 các khóa học trực tuyến miễn phí như vậy mà bạn có thể bắt đầu ngay. Đối với điều này, tôi đã sử dụng cơ sở dữ liệu của Trung tâm với khoảng 10.000 khóa học. Tôi cũng đã tính điểm đánh giá trung bình của mỗi khóa học.

Tôi đã sắp xếp các khóa học này thành các loại sau dựa trên mức độ khó của các em: Các Khóa Cao Cấp Mới bắt đầu được cung cấp lần đầu tiên được đánh dấu là [MỚI]. Nhiều trong số các khóa học này là hoàn toàn tự học Phần còn lại sẽ bắt đầu vào những thời điểm khác vào cuối tháng 3. Bạn có thể tìm thấy danh sách đầy đủ về các khóa học liên quan đến công nghệ bắt đầu từ năm 2018 về Khoa học Máy tính, Trung tâm Dữ liệu và Các chủ đề của chương trình. Tôi hiểu điều này một danh sách dài và có thể được gây nản lòng cho người học mới để lập trình. Trong trường hợp đó, bạn có thể tìm thấy các khuyến nghị của David Venturi về các khoá học trực tuyến hữu ích nhất về Dữ liệu - ngay cả khi bạn không muốn tìm hiểu về Khoa học dữ liệu. 

Tôi hy vọng sẽ tạo ra nhiều hướng dẫn này trong tương lai. Và cuối cùng nếu bạn gặp rắc rối khi tìm kiếm cách đăng ký các khóa học Coursera miễn phí, đừng lo lắng - Tôi cũng đã viết một bài báo về cách thực hiện điều đó.

Trường THCS, THPT Duy Tân www.duytanschool.com Xin chân thành cám ơn các nhà tài trợ và các giáo sư tiến sĩ giảng dạy đến từ các trường đại học của các chương trình trên khanacademy.org - code.org và Coursera.org đã tạo điều kiện học tập và cấp học bổng và gia hạn thời gian học cho các em học sinh Trường THCS, THPT Duy Tân tham gia các khóa học trên từ năm 2012 cho đến nay.

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• AP Computer Science A: Java Programming Loops and Data Structuresfrom Purdue University
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• Monetize your Android Applications from Galileo University
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• Introduction to Java Programming: Writing Good Code from Universidad Carlos iii de Madrid
• Cyber Security Basics: A Hands-on Approach from Universidad Carlos iii de Madrid
• Introduction to TCP/IP from Yonsei University
• Deep Learning for Business from Yonsei University
• Video Game Design and Balance from Rochester Institute of Technology
• Web Accessibility from Google
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• Introduction to Programming Using Python from University of Texas Arlington
• Introduction to Python: Fundamentals from Microsoft
• Logic and Computational Thinking from Microsoft
• Introduction to Design Thinking from Microsoft
• Object Oriented Programming in Java from Microsoft
• Introduction to Python: Absolute Beginner from Microsoft
• CSS Basics from Microsoft
• Writing Professional Code from Microsoft
• Computing: Art, Magic, Science — Part II from ETH Zurich
• How to Build a Chatbot Without Coding from IBM
• Mobile Computing with App Inventor — CS Principles from The University of Warwick
• JavaScript Introduction from World Wide Web Consortium (W3C)
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• Learn Swift Programming Syntax
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• Formal Software Verification from University System of Maryland
• Cloud Computing Infrastructure from University System of Maryland
• Software Testing Fundamentals from University System of Maryland
• Cloud Computing for Enterprises from University System of Maryland
• Software Testing Management from University System of Maryland
• Cloud Computing Management from University System of Maryland
• Gameplay Programming for Video Game Designers from Rochester Institute of Technology
• Teamwork & Collaboration from Rochester Institute of Technology
• Introduction to Data Structures from University of Adelaide
• Introduction to Architecting Smart IoT Devices from EIT Digital
• Architecting Smart IoT Devices from EIT Digital
• Web Connectivity and Security in Embedded Systems from EIT Digital
• Cybersecurity and the X-Factor from University System of Georgia
• Intro to Progressive Web Apps from Google
• Firebase Essentials For Android from Google
• Advanced Android App Development from Google
• Offline Web Applications from Google
• Google Maps APIs from Google
• Optimizing Performance for SQL Based Applications from Microsoft
• Creating Programmatic SQL Database Objects from Microsoft
• Applied Machine Learning from Microsoft
• Developing SQL Databases from Microsoft
• Designing Data Platform Solutions from Microsoft
• Implementing In-Memory SQL Database Objects from Microsoft
• Building Functional Prototypes using Node.js from Microsoft
• Algorithms and Data Structures from Microsoft
• Building Interactive Prototypes using JavaScript from Microsoft
• AngularJS: Framework Fundamentals from Microsoft
• Developing Intelligent Apps and Bots from Microsoft
• Advanced CSS Concepts from Microsoft
• Introduction to TypeScript 2 from Microsoft
• Algorithms and Data Structures in C# from Microsoft
• Programmation Concurrente (avec Java) from Sorbonne Universités
• C++ For C Programmers, Part B from University of California, Santa Cruz
• A Developer’s guide to Node-RED from IBM
• Introduction to DevOps: Transforming and Improving Operations from Linux Foundation
• Introduction to Kubernetes from Linux Foundation
• Introdução ao Teste de Software from Universidade de São Paulo
• UML Class Diagrams for Software Engineering from KU Leuven University
• Internet of Things for Active Aging from Taipei Medical University
• Mobile Usability and Design for IOS from Facebook
• Mobile Usability and Design for Android from Facebook
• Fundamentals of Red Hat Enterprise Linux from Red Hat
• An Introduction to Practical Deep Learning from Intel
• Fundamentals of Containers, Kubernetes, and Red Hat OpenShift from Red Hat
• Concurrency from AdaCore University
• iOS Persistence and Core Data
• iOS Networking with Swift
• UIKit Fundamentals
• SQL for Data Analysis
• How to Make an iOS App
• How to create in Android
• Learn Backbone.js
• Designing RESTful APIs
• VR Scenes and Objects
• iOS Design Patterns
• New Android Fundamentals
• VR Design
• VR Platforms & Applications
• Building iOS Interfaces
• Swift for Developers
• Dynamic Web Applications with Sinatra
• The MVC Pattern in Ruby
• Deploying Applications with Heroku
• C++ For Programmers
• Hacker101 from HackerOne

ADVANCED(88)

• Deep Learning from Google ★★☆☆☆(44)
• Creative Applications of Deep Learning with TensorFlow
• [New] Advanced Machine Learning from The Open University
• [New] Deep Learning in Computer Vision from Higher School of Economics
• Introduction to Artificial Intelligence from Stanford University★★★★☆(24)
• Neural Networks for Machine Learning from University of Toronto★★★★☆(22)
• Machine Learning: Regression from University of Washington★★★★★(18)
• Machine Learning for Data Science and Analytics from Columbia University★★★☆☆(15)
• Bitcoin and Cryptocurrency Technologies from Princeton University★★★★★(15)
• Machine Learning for Trading from Georgia Institute of Technology★★★☆☆(13)
• Artificial Intelligence (AI) from Columbia University ★★★★☆(9)
• Computational Neuroscience from University of Washington ★★★★☆(8)
• Reinforcement Learning from Brown University ★★★☆☆(7)
• Introduction to Computer Vision from Georgia Institute of Technology★★★★★(6)
• Intro to Parallel Programming from Nvidia ★★★★☆(6)
• Interactive 3D Graphics from Autodesk ★★★★☆(6)
• Machine Learning from Georgia Institute of Technology ★★★★★(5)
• Enabling Technologies for Data Science and Analytics: The Internet of Things from Columbia University ★☆☆☆☆(5)
• Applied Cryptography from University of Virginia ★★★★☆(5)
• Practical Deep Learning For Coders, Part 1 from fast.ai ★★★★☆(5)
• Advanced Operating Systems from Georgia Institute of Technology★★★★★(4)
• Machine Learning from Columbia University ★★★★★(4)
• Introduction to Computer Architecture from Carnegie Mellon University★★★★★(4)
• Probabilistic Graphical Models 2: Inference from Stanford University★★★★☆(3)
• Applied Machine Learning in Python from University of Michigan★★★★☆(3)
• Regression Modeling in Practice from Wesleyan University ★★★★☆(3)
• Quantitative Formal Modeling and Worst-Case Performance Analysis from EIT Digital ★★★☆☆(3)
• Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization from deeplearning.ai ★★★★★(2)
• 6.S191: Introduction to Deep Learning from Massachusetts Institute of Technology ★★★★☆(2)
• Intro to Information Security from Georgia Institute of Technology★★☆☆☆(2)
• Introduction to Operating Systems from Georgia Institute of Technology★★★★★(2)
• Nearest Neighbor Collaborative Filtering from University of Minnesota★★☆☆☆(2)
• Advanced MATLAB for Scientific Computing from Stanford University★★★★★(1)
• 6.S094: Deep Learning for Self-Driving Cars from Massachusetts Institute of Technology ★★★★☆(1)
• Knowledge-Based AI: Cognitive Systems from Georgia Institute of Technology ★★★☆☆(1)
• Computational Photography from Georgia Institute of Technology★★★★☆(1)
• High Performance Computer Architecture from Georgia Institute of Technology ★★★★★(1)
• Computability, Complexity & Algorithms from Georgia Institute of Technology ★★★★★(1)
• Embedded Hardware and Operating Systems from EIT Digital ★☆☆☆☆(1)
• Learn TensorFlow and deep learning, without a Ph.D. from Google★★★★☆(1)
• DevOps Practices and Principles from Microsoft ★★☆☆☆(1)
• Sparse Representations in Signal and Image Processing: Fundamentalsfrom Technion — Israel Institute of Technology ★★★★★(1)
• Introduction to Cloud Foundry and Cloud Native Software Architecturefrom Linux Foundation ★★★★★(1)
• Blockchain for Business — An Introduction to Hyperledger Technologiesfrom Linux Foundation ★★★★☆(1)
• Computation Structures 3: Computer Organization from Massachusetts Institute of Technology
• GT — Refresher — Advanced OS from Georgia Institute of Technology
• High Performance Computing from Georgia Institute of Technology
• Cyber-Physical Systems Security from Georgia Institute of Technology
• Compilers: Theory and Practice from Georgia Institute of Technology
• Cyber-Physical Systems Design & Analysis from Georgia Institute of Technology
• Network Security from Georgia Institute of Technology
• Artificial Intelligence from Georgia Institute of Technology
• Information Security: Context and Introduction from University of London International Programmes
• Basic Modeling for Discrete Optimization from University of Melbourne
• Advanced Modeling for Discrete Optimization from University of Melbourne
• Nature, in Code: Biology in JavaScript from École Polytechnique Fédérale de Lausanne
• Менеджмент информационной безопасности from Higher School of Economics
• Методы и средства защиты информации from Higher School of Economics
• Обработка изображений from Higher School of Economics
• Matrix Factorization and Advanced Techniques from University of Minnesota
• 人工智慧(Artificial Intelligence) from National Taiwan University
• Cloud Computing Security from University System of Maryland
• System Validation (2): Model process behaviour from EIT Digital
• System Validation (4): Modelling Software, Protocols, and other behaviour from EIT Digital
• System Validation: Automata and behavioural equivalences from EIT Digital
• Machine Learning Crash Course with TensorFlow APIs from Google
• Infrastructure as Code from Microsoft
• DevOps for Databases from Microsoft
• Introduction to Artificial Intelligence (AI) from Microsoft
• Deep Learning Explained from Microsoft
• Advanced C++ from Microsoft
• DevOps Testing from Microsoft
• Deep Learning for Natural Language Processing from University of Oxford
• Statistical Machine Learning from Carnegie Mellon University
• Cyber-Physical Systems: Modeling and Simulation from University of California, Santa Cruz
• Mathematics for Machine Learning: Linear Algebra from Imperial College London
• Mathematics for Machine Learning: Multivariate Calculus from Imperial College London
• Mathematics for Machine Learning: PCA from Imperial College London
• Introduction to OpenStack from Linux Foundation
• Computer System Design: Advanced Concepts of Modern Microprocessorsfrom Chalmers University of Technology
• Reliable Distributed Algorithms, Part 2 from KTH Royal Institute of Technology
• Access Controls from (ISC)²
• Systems and Application Security from (ISC)²
• Security Operations and Administration from (ISC)²
• Identifying, Monitoring, and Analyzing Risk and Incident Response and Recovery from (ISC)²
• Networks and Communications Security from (ISC)²
• Deep Learning Summer School
• Continuous Integration and Deployment 

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